New clustering method based on general connectivity

Abstract

In this paper, we present a novel concept of the general connectivity among cells. While conventional concept considers direct connections only, the new concept considers both the direct and indirect connections among cells leading to a model capturing a more precise relationship among cells. Based on the model, a new parallel clustering approach is proposed and analyzed. Another new concept of the stable cluster is introduced to improve the clustering result. In conjunction with the clustering process, an investigatory procedure which back tracks the cluster development process to check if all clusters are stable is also developed. Initial test runs, using the new clustering approach for placement, yield an encouraging 21.6% reduction on the number of feed-through in a complex ASIC design.